A strong AAISM study guide begins with the exam blueprint.
AAISM Certification evaluates security professionals across three major areas: governance, risk management, and AI technologies and controls.
Knowing the domain weightings helps candidates avoid spending equal amounts of time on topics that do not carry equal exam emphasis.
This domain evaluates how organizations establish and manage AI security programs.
Study topics may include:
AI governance
Policies and standards
Regulatory considerations
Stakeholder responsibilities
AI program management
Incident response
Business continuity
Candidates should understand how security strategy connects with organizational AI adoption.
This section focuses on identifying and treating AI-related risk.
Important areas include:
AI threats
Vulnerability assessment
Risk evaluation
Risk treatment
Vendor management
Third-party AI risk
Supply-chain concerns
Candidates should practice interpreting scenarios rather than memorizing isolated definitions.
At 38%, this is the largest AAISM domain.
Study areas can include:
AI architectures
Model security
Data protection
AI life-cycle controls
Privacy
Monitoring
Trust and safety
Technical safeguards
Candidates should allocate additional preparation time here.
A practical study plan might follow this order:
Review the complete exam outline.
Evaluate current knowledge.
Study each domain independently.
Spend additional time on Domain 3.
Use scenario-based questions.
Review incorrect answers.
Complete a final practice assessment.
Candidates may also combine an AAISM review manual, virtual training, and practice questions.
The AAISM exam fee is currently $459 for members and $599 for non-members.
Candidates must also hold an active CISM or CISSP.
The exam contains 90 questions and lasts 150 minutes.
A strong preparation strategy combines the official domain structure with practical understanding of how AI security decisions are made inside real organizations.